Instance-Dependent PU Learning by Bayesian Optimal Relabeling. - Fengxiang He; Tongliang Liu; Geoffrey I. Webb; Dacheng Tao (CoRR, 2018)

Fast Spatio-Temporal Residual Network for Video Super-Resolution. - Sheng Li 001; Fengxiang He; Bo Du 001; Lefei Zhang; Yonghao Xu; Dacheng Tao (CVPR, 2019)

Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning. - Fusheng Hao; Fengxiang He; Jun Cheng 002; Lei Wang 018; Jianzhong Cao; Dacheng Tao (ICCV, 2019)

Progressive Reconstruction of Visual Structure for Image Inpainting. - Jingyuan Li; Fengxiang He; Lefei Zhang; Bo Du 001; Dacheng Tao (ICCV, 2019)

Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence. - Fengxiang He; Tongliang Liu; Dacheng Tao (NeurIPS, 2019)

Piecewise linear activations substantially shape the loss surfaces of neural networks. - Fengxiang He; Bohan Wang; Dacheng Tao (ICLR, 2020)

Understanding Generalization in Recurrent Neural Networks. - Zhuozhuo Tu; Fengxiang He; Dacheng Tao (ICLR, 2020)

Recent advances in deep learning theory. - Fengxiang He; Dacheng Tao (CoRR, 2020)

Robustness, Privacy, and Generalization of Adversarial Training. - Fengxiang He; Shaopeng Fu; Bohan Wang; Dacheng Tao (CoRR, 2020)

Why ResNet Works? Residuals Generalize. - Fengxiang He; Tongliang Liu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. - Wen Wang 009; Yang Cao 010; Jing Zhang 037; Fengxiang He; Zheng-Jun Zha; Yonggang Wen 001; Dacheng Tao (ACM Multimedia, 2021)

Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms. - Fengxiang He; Bohan Wang; Dacheng Tao (UAI, 2021)

Neural networks behave as hash encoders: An empirical study. - Fengxiang He; Shiye Lei; Jianmin Ji; Dacheng Tao (CoRR, 2021)

Bayesian Inference Forgetting. - Shaopeng Fu; Fengxiang He; Yue Xu; Dacheng Tao (CoRR, 2021)

Spectral Complexity-scaled Generalization Bound of Complex-valued Neural Networks. - Haowen Chen; Fengxiang He; Shiye Lei; Dacheng Tao (CoRR, 2021)

Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer. - Shiye Lei; Zhuozhuo Tu; Leszek Rutkowski; Feng Zhou 011; Li Shen 008; Fengxiang He; Dacheng Tao (CoRR, 2021)

Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. - Zeke Xie; Fengxiang He; Shaopeng Fu; Issei Sato; Dacheng Tao; Masashi Sugiyama (Neural Comput., 2021)

VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization. - Minghui Chen; Cheng Wen; Feng Zheng; Fengxiang He; Ling Shao 001 (AAAI, 2022)

Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. - Yue He 005; Chen Chen; Jing Zhang 037; Juhua Liu; Fengxiang He; Chaoyue Wang; Bo Du 001 (AAAI, 2022)

Siamese Network with Interactive Transformer for Video Object Segmentation. - Meng Lan; Jing Zhang 037; Fengxiang He; Lefei Zhang (AAAI, 2022)

Bridged Transformer for Vision and Point Cloud 3D Object Detection. - Yikai Wang 001; TengQi Ye; Lele Cao; Wenbing Huang 001; Fuchun Sun 001; Fengxiang He; Dacheng Tao (CVPR, 2022)

Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. - Fuxiang Wu; Liu Liu 014; Fusheng Hao; Fengxiang He; Jun Cheng 002 (CVPR, 2022)

Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. - Shaopeng Fu; Fengxiang He; Yang Liu 039; Li Shen 008; Dacheng Tao (ICLR, 2022)

Knowledge Removal in Sampling-based Bayesian Inference. - Shaopeng Fu; Fengxiang He; Dacheng Tao (ICLR, 2022)

Huber Additive Models for Non-stationary Time Series Analysis. - Yingjie Wang 007; Xianrui Zhong; Fengxiang He; Hong Chen 004; Dacheng Tao (ICLR, 2022)

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training. - Rong Dai; Li Shen 008; Fengxiang He; Xinmei Tian 001; Dacheng Tao (ICML, 2022)

Topology-aware Generalization of Decentralized SGD. - Tongtian Zhu; Fengxiang He; Lan Zhang 002; Zhengyang Niu; Mingli Song; Dacheng Tao (ICML, 2022)

Self-paced Supervision for Multi-source Domain Adaptation. - Zengmao Wang; Chaoyang Zhou; Bo Du 001; Fengxiang He (IJCAI, 2022)

InFi: end-to-end learnable input filter for resource-efficient mobile-centric inference. - Mu Yuan; Lan Zhang 002; Fengxiang He; Xueting Tong; Xiangyang Li 001 (MobiCom, 2022)

When to Update Your Model: Constrained Model-based Reinforcement Learning. - Tianying Ji; Yu Luo; Fuchun Sun 001; Mingxuan Jing; Fengxiang He; Wenbing Huang 001 (NeurIPS, 2022)

Benefits of Permutation-Equivariance in Auction Mechanisms. - Tian Qin; Fengxiang He; Dingfeng Shi; Wenbing Huang 001; Dacheng Tao (NeurIPS, 2022)

Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach. - Kaiwen Yang; Yanchao Sun; Jiahao Su; Fengxiang He; Xinmei Tian 001; Furong Huang; Tianyi Zhou 001; Dacheng Tao (NeurIPS, 2022)

Achieving Personalized Federated Learning with Sparse Local Models. - Tiansheng Huang; Shiwei Liu 003; Li Shen 008; Fengxiang He; Weiwei Lin 001; Dacheng Tao (CoRR, 2022)

Exploring High-Order Structure for Robust Graph Structure Learning. - Guangqian Yang; Yibing Zhan; Jinlong Li; Baosheng Yu; Liu Liu 014; Fengxiang He (CoRR, 2022)

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. - Shaopeng Fu; Fengxiang He; Yang Liu 039; Li Shen 008; Dacheng Tao (CoRR, 2022)

Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. - Mengnan Du; Fengxiang He; Na Zou 001; Dacheng Tao; Xia Hu 001 (CoRR, 2022)

Super-model ecosystem: A domain-adaptation perspective. - Fengxiang He; Dacheng Tao (CoRR, 2022)

InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. - Mu Yuan; Lan Zhang 002; Fengxiang He; Xueting Tong; Miao-Hui Song; Xiangyang Li 001 (CoRR, 2022)

Global-Local Interplay in Semantic Alignment for Few-Shot Learning. - Fusheng Hao; Fengxiang He; Jun Cheng 002; Dacheng Tao (IEEE Trans. Circuits Syst. Video Technol., 2022)

Reject Decoding via Language-Vision Models for Text-to-Image Synthesis. - Fuxiang Wu; Liu Liu 014; Fusheng Hao; Fengxiang He; Lei Wang 018; Jun Cheng 002 (AAAI, 2023)

Learning to Generalize Provably in Learning to Optimize. - Junjie Yang; Tianlong Chen 001; Mingkang Zhu; Fengxiang He; Dacheng Tao; Yingbin Liang; Zhangyang Wang (AISTATS, 2023)

Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. - Fusheng Hao; Fengxiang He; Liu Liu 014; Fuxiang Wu; Dacheng Tao; Jun Cheng 002 (ICCV, 2023)

Tilted Sparse Additive Models. - Yingjie Wang 007; Hong Chen 004; Weifeng Liu 001; Fengxiang He; Tieliang Gong; Youcheng Fu; Dacheng Tao (ICML, 2023)

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent. - Tongtian Zhu; Fengxiang He; Kaixuan Chen 004; Mingli Song; Dacheng Tao (ICML, 2023)

Improving Heterogeneous Model Reuse by Density Estimation. - Anke Tang; Yong Luo 002; Han Hu 003; Fengxiang He; Kehua Su; Bo Du 001; Yixin Chen 001; Dacheng Tao (IJCAI, 2023)

E(2)-Equivariant Vision Transformer. - Renjun Xu; Kaifan Yang; Ke Liu 012; Fengxiang He (UAI, 2023)

Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms. - Guanpu Chen; Gehui Xu; Fengxiang He; Yiguang Hong; Leszek Rutkowski; Dacheng Tao (CoRR, 2023)

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. - Chao Xue; Wei Liu 005; Shuai Xie; Zhenfang Wang; Jiaxing Li; Xuyang Peng; Liang Ding 006; Shanshan Zhao 001; Qiong Cao; Yibo Yang; Fengxiang He; Bohua Cai; et al. (CoRR, 2023)

Human-imperceptible, Machine-recognizable Images. - Fusheng Hao; Fengxiang He; Yikai Wang 001; Fuxiang Wu; Jing Zhang 037; Jun Cheng 002; Dacheng Tao (CoRR, 2023)

XAI for In-hospital Mortality Prediction via Multimodal ICU Data. - Xingqiao Li; Jindong Gu; Zhiyong Wang; Yancheng Yuan; Bo Du 001; Fengxiang He (CoRR, 2023)

Mixer-Based Semantic Spread for Few-Shot Learning. - Jun Cheng 002; Fusheng Hao; Fengxiang He; Liu Liu 014; Qieshi Zhang (IEEE Trans. Multim., 2023)

Language-Based Image Manipulation Built on Language-Guided Ranking. - Fuxiang Wu; Liu Liu 014; Fusheng Hao; Fengxiang He; Jun Cheng 002 (IEEE Trans. Multim., 2023)

Self-Ensembling GAN for Cross-Domain Semantic Segmentation. - Yonghao Xu; Fengxiang He; Bo Du 001; Dacheng Tao; Liangpei Zhang 001 (IEEE Trans. Multim., 2023)

Channel Exchanging Networks for Multimodal and Multitask Dense Image Prediction. - Yikai Wang 001; Fuchun Sun 001; Wenbing Huang 001; Fengxiang He; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Spectral complexity-scaled generalisation bound of complex-valued neural networks. - Haowen Chen; Fengxiang He; Shiye Lei; Dacheng Tao (Artif. Intell., 2023)

Semantic-Aware Feature Aggregation for Few-Shot Image Classification. - Fusheng Hao; Fuxiang Wu; Fengxiang He; Qieshi Zhang; Chengqun Song; Jun Cheng 002 (Neural Process. Lett., 2023)

Heterogeneous multi-task Gaussian Cox processes. - Feng Zhou 011; Quyu Kong; Zhijie Deng; Fengxiang He; Peng Cui 007; Jun Zhu 001 (Mach. Learn., 2023)

Convergence of Bayesian Bilevel Optimization. - Shi Fu; Fengxiang He; Xinmei Tian 001; Dacheng Tao (ICLR, 2024)

Adaptive Time-Stepping Schedules for Diffusion Models. - Yuzhu Chen; Fengxiang He; Shi Fu; Xinmei Tian 001; Dacheng Tao (UAI, 2024)

AI Driven Online Advertising: Market Design, Generative AI, and Ethics. - Fengxiang He; Mengnan Du; Aris Filos-Ratsikas; Lu Cheng 001; Qingquan Song; Min Lin; John Vines (WWW (Companion Volume), 2024)

Inverse learning of black-box aggregator for robust Nash equilibrium. - Guanpu Chen; Gehui Xu; Fengxiang He; Dacheng Tao; Thomas Parisini; Karl Henrik Johansson (CoRR, 2024)

Shortcut Learning of Large Language Models in Natural Language Understanding. - Mengnan Du; Fengxiang He; Na Zou 001; Dacheng Tao; Xia Hu 001 (Commun. ACM, 2024)

InFi: End-to-End Learning to Filter Input for Resource-Efficiency in Mobile-Centric Inference. - Mu Yuan; Lan Zhang 002; Fengxiang He; Xueting Tong; Miao-Hui Song; Zhengyuan Xu; Xiang-Yang Li 001 (IEEE Trans. Mob. Comput., 2024)

Communication-Efficient Regret-Optimal Distributed Online Convex Optimization. - Jiandong Liu; Lan Zhang 002; Fengxiang He; Chi Zhang 043; Shanyang Jiang; Xiang-Yang Li 001 (IEEE Trans. Parallel Distributed Syst., 2024)

Approaching the Global Nash Equilibrium of Non-Convex Multi-Player Games. - Guanpu Chen; Gehui Xu; Fengxiang He; Yiguang Hong; Leszek Rutkowski; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Task-Aware Clustering for Prompting Vision-Language Models. - Fusheng Hao; Fengxiang He; Fuxiang Wu; Tichao Wang; Chengqun Song; Jun Cheng 002 (CVPR, 2025)

DICE: Data Influence Cascade in Decentralized Learning. - Tongtian Zhu; Wenhao Li; Can Wang 001; Fengxiang He (ICLR, 2025)

Graph traverse reference network for sign language corpus retrieval in the wild. - Kun Hu; Fengxiang He; Adam Schembri; Zhiyong Wang (Neurocomputing, 2025)

Lie Symmetry Net: Preserving Conservation Laws in Modelling Financial Market Dynamics via Differential Equations. - Xuelian Jiang; Tongtian Zhu; Yingxiang Xu; Can Wang 001; Yeyu Zhang; Fengxiang He (Trans. Mach. Learn. Res., 2025)

Understanding Deep Learning via Decision Boundary. - Shiye Lei; Fengxiang He; Yancheng Yuan; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Boosting Fair Classifier Generalization through Adaptive Priority Reweighing. - Zhihao Hu; Yiran Xu; Mengnan Du; Jindong Gu; Xinmei Tian 001; Fengxiang He (ACM Trans. Knowl. Discov. Data, 2025)

Attentive Learning Facilitates Generalization of Neural Networks. - Shiye Lei; Fengxiang He; Haowen Chen; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds. - Qian Zuo; Fengxiang He (CoRR, 2025)

When a Reinforcement Learning Agent Encounters Unknown Unknowns. - Juntian Zhu; Miguel de Carvalho; Zhouwang Yang; Fengxiang He (CoRR, 2025)